A 2-stroke engine concept has been compared with a 4-stroke using calibrated simulation tools GT-Power and modeFRONTIER. Under the same operating conditions (full load), the 4-stroke supercharged engine proved to be clearly superior, even though the 2-stroke engine has potential for better mechanical efficiency.

The presented methodology has the objective of optimizing a small vehicle archetype in the rear and front crossbeams and crash boxes. The FE model of the front and rear bumper system has been optimized using DOE and response surface methodologies.

The automatic multi-objective product optimization led to a substantial reduction of calculation time and costs, and resulted in the identification of optimal parameter configurations and of the cheapest technology for container manufacturing

Shear-thinning tear substitutes have been studied as single and multi-objective optimization problem in order to identify their best performance. Both deterministic and stochastic analysis have been performed (MORDO function in modeFRONTIER), establishing low sensitivity to practical uncertainties.

The multi-objective approach to ligand docking could be used to tune the coefficient of a generic weighted-sum scoring function in a single-objective analysis, whereas a robust design-based approach seems to allow for an effective limited inclusion of receptor flexibility.

The integration of the two software is presented using two case studies: a cavity filter and an isoflux antenna. In the first case modeFRONTIER enabled to meet the design targets, whereas in the second case it identified the best compromise between the most important requirements.

The presentation provides an overview of the use of modeFRONTIER in conjuction with Infoworks, a software for the analysis and management of distribution network models. modeFRONTIER manages the VisualBasic interface with Infoworks, allowing to modify and examine simulations of different models.

Competitiveness drives companies to engineer and produce power-train components and systems that over time are higher in product performance, more fuel efficient, less polluting while responding to the increased complexity of design and mechanical operations and requirements.